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Wireless Factory Automation: Radio Channel Evolution in Repeated Manufacturing Processes

机译：无线工厂自动化：重复制造过程中的无线电信道演进

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Wireless technologies have to be enhanced to meet the latency and reliability requirements of mission-critical machine-type communication (MTC) in automation systems. Investigating the characteristics of radio channels in typical factory environments is fundamental when designing the wireless industrial Internet of the future. In this paper, we provide results of an indoor channel measurement campaign in a representative factory automation lab. The measurements were performed at a carrier frequency of 2.25 GHz. We focus on communication between industrial robots and their controller entities over short distances. Our use case is a pick-and-place process with repetitions. We allow other active machinery and moving personnel nearby the automation cell. Based on the power delay profile and the corresponding power spectral density, we analyze the time evolution of channel snapshots on fixed spatial positions in repeated processes. Furthermore, we study the correlation of successive channel profiles along the process trajectory. By obtaining high channel correlation over time, we show that scattering and reflection effects from active and moving obstacles surrounding the manufacturing area are limited. Our findings allow a channel-aware planning of wireless control loops by optimized link adaption in wireless systems.
机译：必须增强无线技术，以满足自动化系统中关键任务机器类型通信（MTC）的延迟和可靠性要求。在设计未来的无线工业互联网时，研究典型工厂环境中无线电信道的特性至关重要。在本文中，我们提供了在具有代表性的工厂自动化实验室中进行室内通道测量活动的结果。测量是在2.25 GHz的载波频率上进行的。我们专注于短距离工业机器人与其控制器实体之间的通信。我们的用例是带有重复的取放过程。我们允许其他主动机械和移动人员进入自动化单元附近。基于功率延迟曲线和相应的功率谱密度，我们分析了重复过程中固定空间位置上通道快照的时间演化。此外，我们研究沿过程轨迹的连续通道轮廓的相关性。通过获得随时间变化的高通道相关性，我们表明来自制造区域周围的活动障碍物和移动障碍物的散射和反射效果受到限制。我们的发现可以通过优化无线系统中的链路自适应来实现无线控制环路的信道感知规划。

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